Performance Analysis of Scheduling Algorithms for Web QoE Optimization in Wireless Networks

Abstract

This paper deals with the problem of scheduling mobile Internet traffic over a single cell wireless downlink data channel. On the one hand, we compare the performance of different size-based or/and channel-aware scheduling disciplines in mean delay terms, concluding that an approach that combines both size-and channel-awareness is the best alternative, which guarantees acceptable uplink overhead due to channel information reports. On the other hand, we study the impact of different scheduling algorithms on user's satisfaction for web browsing service. As concluded, in order to achieve a trade-off between maximizing overall mean subjective quality and reducing uplink signaling overhead due to channel quality reports, a scheduling policy that benefits from opportunistic gains in combination with a size-aware tie-breaking rule gives the best results.

A Novel Scheduling Index Rule Proposal for QoE Maximization in Wireless Networks

“…(iii) Cost and attained service dependant ( AS ): although it might seem counter-intuitive, minimizing mean delay does not result in maximizing average MOS [24]. This way, in order to compare the performance with delay-aware solutions, we propose to adapt the classical rule aimed at minimizing mean delay [25] to attained service.…”

A cognitive network management system to improve QoE in stereoscopic IPTV service

“…The parameters that affect the QoE are different according to the type of application. Some examples can be found in [6] for VoIP and Web [7]. Thus, one of the goals is to determine the factors that affect the QoE in each stage of the stereoscopic 3DTV delivery system.…”